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Nhl Data Science Jobs (NOW HIRING)

Vinik Sports Group

Data Scientist Assistant

Tampa, FL

$15/hr

September 1, 2026 Time Commitment: 2026-2027 NHL Season - Approximately 20/25 hours per week Job Summary The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ...

Vinik Sports Group

Data Scientist Assistant

Tampa, FL · On-site

$15/hr

September 1, 2026 Time Commitment: 2026-2027 NHL Season - Approximately 20/25 hours per week Job Summary The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ...

AEG

Data Scientist Assistant

Tampa, FL · On-site

$15/hr

September 1, 2026 Time Commitment: 2026-2027 NHL Season - Approximately 20/25 hours per week Job Summary The Part-Time Data Scientist Assistant supports the hockey analytics department by applying ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$70K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$70K/yr

Independently analyze betting trends in a scientific process, turning data into quantifiable ... Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football * Strong ...

AEG

Hockey Analytics Summer Intern

Voorhees, NJ · On-site

$15.92/hr

... research, NHL entry draft, player development, etc.). Core Responsibilities * Currently enrolled in a Bachelor's or Master's program in Statistics, Computer Science, Data Science, Mathematics ...

Kalshi

Sports Operations Engineer

New York, NY · On-site

$76K - $102.80K/yr

... NHL, MLS, NCAA, and international competitions without manual intervention. Data Pipeline ... Bachelor's degree in Computer Science, Data Science, or related technical field. * 1-3 years of ...

Kalshi

Sports Operations Engineer

New York, NY

$76K - $102.80K/yr

... NHL, MLS, NCAA, and international competitions without manual intervention. Data Pipeline ... Bachelor's degree in Computer Science, Data Science, or related technical field. * 1-3 years of ...

AEG

Director, Software Engineering

Manhattan, NY · On-site

$160K - $180K/yr

At the NHL, we are looking for dynamic, energetic and impactful individuals who are committed to ... Experience with data processing and analysis frameworks like Apache Spark Data Frame API, DFLib

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$46K

$165K

$243.5K

How much do nhl data science jobs pay per year?

As of May 31, 2026, the average yearly pay for nhl data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is an NHL Data Science job?

An NHL Data Science job involves analyzing hockey-related data to provide insights for teams, coaches, analysts, and front offices. This can include player performance evaluation, game strategy optimization, injury prediction, and salary cap management using statistical models and machine learning techniques. Data scientists in the NHL work with large datasets from tracking systems, player statistics, and historical game records to improve decision-making. Their goal is to provide actionable insights that enhance team performance, recruitment, and overall strategy.

What are the key skills and qualifications needed to thrive in the Nhl Data Science position, and why are they important?

To thrive in an NHL Data Science role, you need strong analytical skills, a robust background in statistics or mathematics, and experience with data modeling, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools (e.g., Tableau), and sports analytics platforms is highly valued, along with familiarity with large databases and machine learning techniques. Excellent communication skills, attention to detail, and the ability to collaborate with coaches and other team staff are important soft skills in this position. These capabilities enable data scientists to extract actionable insights from complex hockey data, support strategic decision-making, and contribute to team performance.

What are the typical projects or analyses handled by an NHL Data Science professional?

NHL Data Science professionals typically work on projects such as player performance analysis, injury prediction modeling, game strategy optimization, and opponent scouting through advanced analytics. Daily responsibilities often include collecting and cleaning large datasets, creating and refining predictive models, and presenting insights to coaches and management in a clear and actionable manner. Collaboration with coaching staff, scouts, and front office executives is common, as data insights are integrated into both immediate game plans and long-term team strategies. These projects directly impact training regimens, roster decisions, and on-ice tactics, making the work both dynamic and highly influential in the team’s competitive edge.
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What cities are hiring for Nhl Data Science jobs? Cities with the most Nhl Data Science job openings:
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Nhl Data Science jobs near you
Infographic showing various Nhl Data Science job openings in the United States as of May 2026, with employment types broken down into 2% Internship, 1% Full Time, 74% Part Time, 2% Temporary, 20% Contract, and 1% Nights. Highlights an 3% Physical, 8% Hybrid, and 89% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist - Risk and Trading (Daily Fantasy Sports)

Data Scientist - Risk and Trading (Daily Fantasy Sports)

Sleeper

Remote

$75K - $150K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 24 days ago

Job description

About Sleeper:
Sleeper is one of the fastest growing sports platforms in the US. As the leader in Fantasy Sports, Sleeper's product portfolio includes a variety of free-to-play Fantasy Sports and real money Daily Fantasy Sports ("DFS") games and applications. Our growing list of titles spans a diverse range of sports leagues, including the NFL, NBA/WNBA, MLB, NHL, EURO, and other soon-to-be released offerings.
We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function.
Responsibilities:
  • Support risk and liability management with respect to Sleeper's DFS operations, conducting data analysis and modeling to identify trends, patterns, and insights.
  • Develop predictive models and algorithms to better understand Sleeper's real-time liability, including risk exposure related to specific markets and events.
  • Conduct data wrangling, processing and cleaning operations, and design processes, as well as tools for monitoring and analyzing performance and accuracy.
  • Monitor all pricing for real-time odds, active player statistics markets, breaking news, and other relevant information to make real-time market adjustments / suspensions, while also ensuring that data flows from external partners are being recorded timely and accurately.
  • Build out user risk profiles, staying close to behavior patterns and trends, and collaborate with product and engineering teams to enhance personalization within our DFS ecosystem.
  • Automate risk and trading processes to scale for growth in users, sports, and markets in support of all game operations, and contribute to research and innovation for this function as a whole.
    Qualifications:
  • Background in computer science, data science, machine learning, mathematics/statistics, or a similar field with related experience. Comfortable working with and analyzing large data sets.
  • In-depth knowledge of DFS, sports betting, player props, handicapping, expected value, and closing line value. Ideal candidates have extensive experience with high volumes of DFS/sports betting and real money games, either as a trader, +EV bettor, and/or oddsmaker.
  • Proactive - ready to hit the ground running; excited about the idea of building out processes from scratch, and not afraid to break the "sports trading mold", challenging how the industry has historically approached risk management and trading.
  • Comfortable working "off hours" to align with peaks in the sports calendar. This will often include nights and weekends. We are generally quite flexible and will work with you to ensure an appropriate work/life balance is molded around game schedules.
  • Knowledge of SQL, Python, and/or related software/tools, and familiarity in working with databases, data warehouses, data visualizations and report building.
  • Experience with player performance metrics, game outcome predictions, in-game event modeling, as well as working with real-time sports data feeds and APIs.

Additional Information:
We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role.
For this role, in this particular location, a reasonable estimate of the base salary range for new hires is between $75,000 USD to $150,000 USD, plus benefits including Medical, Dental, PTO, and 401k.
Please note that the salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs.
The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to jobs@sleeper.app.
Headquartered in Las Vegas, NV, Sleeper is backed by Silicon Valley's top investors, including Andreessen Horowitz, General Catalyst, and Expa.
To learn more, visit us online at: www.sleeper.com

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